Lipidomics random forest algorithm of seminal plasma is a promising method for enhancing the diagnosis of necrozoospermia
Tianqin Deng,
Wanxue Wang,
Zhihong Fu
et al.
Abstract:Background
Despite the clear clinical diagnostic criteria for necrozoospermia in andrology, the fundamental mechanisms underlying it remain elusive. This study aims to profile the lipid composition in seminal plasma systematically and to ascertain the potential of lipid biomarkers in the accurate diagnosis of necrozoospermia. It also evaluates the efficacy of a lipidomics-based random forest algorithm model in identifying necrozoospermia.
Methods
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